Reputation: 1847
Today is the first day I have tried using PyQtGraph. I really like it so far except I can't seem to fully comprehend how things work..
I am trying to place two FFT plot widgets into the same window. After much trial and error I found what I thought was the proper way to do it. However now I have two plots which show the correct information but everything on the Y axis is inverted.
Also it seems zooming and panning are not correct either (the whole plot moves, not just the data within it).
This image shows the two real-time audio fft plots both within a single GraphicsWindow. On the left I use addPlot with addItem and on the right I use addViewBox with addItem.
To be thorough I have tried using item.invertY(True) and item.scale(1,-1). In both cases it will invert the Y axis data but not the text or axes, nor does it address the panning/zooming issues..
This Python script is everything I was able to write.
It was based off of this file: pyqtgraph live running spectrogram from microphone
import numpy as np
import pyqtgraph as pg
import pyaudio
from PyQt4 import QtCore, QtGui
FS = 44100 #Hz
CHUNKSZ = 1024 #samples
class MicrophoneRecorder():
def __init__(self, signal):
self.signal = signal
self.p = pyaudio.PyAudio()
self.stream = self.p.open(format=pyaudio.paInt16,
channels=1,
rate=FS,
input=True,
frames_per_buffer=CHUNKSZ)
def read(self):
data = self.stream.read(CHUNKSZ)
y = np.fromstring(data, 'int16')
self.signal.emit(y)
def close(self):
self.stream.stop_stream()
self.stream.close()
self.p.terminate()
class SpectrogramWidget2(pg.PlotWidget):
read_collected = QtCore.pyqtSignal(np.ndarray)
def __init__(self):
super(SpectrogramWidget2, self).__init__()
self.img = pg.ImageItem()
self.addItem(self.img)
self.img_array = np.zeros((1000, CHUNKSZ/2+1))
# bipolar colormap
pos = np.array([0., 0.5, 1.])
color = np.array([[0,0,0,255], [0,255,0,255], [255,0,0,255]], dtype=np.ubyte)
cmap = pg.ColorMap(pos, color)
pg.colormap
lut = cmap.getLookupTable(0.0, 1.0, 256)
# set colormap
self.img.setLookupTable(lut)
self.img.setLevels([0,100])
# setup the correct scaling for y-axis
freq = np.arange((CHUNKSZ/2)+1)/(float(CHUNKSZ)/FS)
yscale = 1.0/(self.img_array.shape[1]/freq[-1])
self.img.scale((1./FS)*CHUNKSZ, yscale)
self.setLabel('left', 'Frequency', units='Hz')
# prepare window for later use
self.win = np.hanning(CHUNKSZ)
#self.show()
def update(self, chunk):
# normalized, windowed frequencies in data chunk
spec = np.fft.rfft(chunk*self.win) / CHUNKSZ
# get magnitude
psd = abs(spec)
# convert to dB scaleaxis
psd = 20 * np.log10(psd)
# roll down one and replace leading edge with new data
self.img_array = np.roll(self.img_array, -1, 0)
self.img_array[-1:] = psd
self.img.setImage(self.img_array, autoLevels=False)
class SpectrogramWidget(pg.PlotWidget):
read_collected = QtCore.pyqtSignal(np.ndarray)
def __init__(self):
super(SpectrogramWidget, self).__init__()
self.img = pg.ImageItem()
self.addItem(self.img)
self.img_array = np.zeros((1000, CHUNKSZ/2+1))
# bipolar colormap
pos = np.array([0., 0.5, 1.])
color = np.array([[0,0,0,255], [0,255,0,255], [255,0,0,255]], dtype=np.ubyte)
cmap = pg.ColorMap(pos, color)
pg.colormap
lut = cmap.getLookupTable(0.0, 1.0, 256)
# set colormap
self.img.setLookupTable(lut)
self.img.setLevels([0,100])
# setup the correct scaling for y-axis
freq = np.arange((CHUNKSZ/2)+1)/(float(CHUNKSZ)/FS)
yscale = 1.0/(self.img_array.shape[1]/freq[-1])
self.img.scale((1./FS)*CHUNKSZ, yscale)
self.setLabel('left', 'Frequency', units='Hz')
# prepare window for later use
self.win = np.hanning(CHUNKSZ)
#self.show()
def update(self, chunk):
# normalized, windowed frequencies in data chunk
spec = np.fft.rfft(chunk*self.win) / CHUNKSZ
# get magnitude
psd = abs(spec)
# convert to dB scaleaxis
psd = 20 * np.log10(psd)
# roll down one and replace leading edge with new data
self.img_array = np.roll(self.img_array, -1, 0)
self.img_array[-1:] = psd
self.img.setImage(self.img_array, autoLevels=False)
if __name__ == '__main__':
app = QtGui.QApplication([])
win = pg.GraphicsWindow(title="Basic plotting examples")
#win.resize(1000,600)
w = SpectrogramWidget()
w.read_collected.connect(w.update)
spectrum1 = win.addPlot(title="Spectrum 1")#win.addViewBox()
item = w.getPlotItem()
spectrum1.addItem(item)
w2 = SpectrogramWidget2()
w2.read_collected.connect(w2.update)
spectrum2 = win.addViewBox()
spectrum2.addItem(w2.getPlotItem())
mic = MicrophoneRecorder(w.read_collected)
mic2 = MicrophoneRecorder(w2.read_collected)
# time (seconds) between reads
interval = FS/CHUNKSZ
t = QtCore.QTimer()
t.timeout.connect(mic.read)
t.start((1000/interval) ) #QTimer takes ms
t2 = QtCore.QTimer()
t2.timeout.connect(mic2.read)
t2.start((1000/interval) ) #QTimer takes ms
app.exec_()
mic.close()
Thank you for any help!
Upvotes: 1
Views: 1659
Reputation: 11849
I have no idea why doing this causes things to be mirrored, but the issue is related to using the plotItem from a plot in another plot (I think that's what you're doing?)
Anyway, PlotWidget
s shouldn't be used like that. They are just normal Qt Widgets, so add them to a Qt layout like you would with any other Qt Widget.
if __name__ == '__main__':
app = QtGui.QApplication([])
win = QtGui.QMainWindow()
widget = QtGui.QWidget()
win.setCentralWidget(widget)
layout = QtGui.QHBoxLayout(widget)
win.show()
w = SpectrogramWidget()
w.read_collected.connect(w.update)
layout.addWidget(w)
w2 = SpectrogramWidget2()
w2.read_collected.connect(w2.update)
layout.addWidget(w2)
# .... etc
P.S. Is there a reason you have two identical classes with a different name? You could just instantiate multiple copies of the same class. E.g.
w = SpectrogramWidget()
w2 = SpectrogramWidget()
Upvotes: 1